Efficient Distributed Spatial Semijoins and Their Application in Multiple-Site Queries. - Nawshad Farruque; Wendy Osborn (AINA, 2014)

Basic and Depression Specific Emotions Identification in Tweets: Multi-label Classification Experiments. - Nawshad Farruque; Chenyang Huang 001; Osmar Zaïane; Randy Goebel (CICLing (2), 2019)

Augmenting Semantic Representation of Depressive Language: From Forums to Microblogs. - Nawshad Farruque; Osmar R. Zaïane; Randy Goebel (ECML/PKDD (3), 2019)

Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. - Chenyang Huang 001; Amine Trabelsi; Xuebin Qin; Nawshad Farruque; Osmar R. Zaïane (CoRR, 2019)

A multi-component framework for the analysis and design of explainable artificial intelligence. - Shahin Atakishiyev; Housam Khalifa Bashier Babiker; Nawshad Farruque; Randy Goebel; M.-Y. Kima; Mohammad H. Motallebi; Juliano Rabelo 001; Talat Iqba Syed; Osmar R. Zaïane (CoRR, 2020)

Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text. - Nawshad Farruque; Randy Goebel; Osmar R. Zaïane; Sudhakar Sivapalan (ICMLA, 2021)

Analysis of COVID-19 Misinformation in Social Media using Transfer Learning. - Abhishek Dhankar; Hamman Samuel; Fahim Hassan; Nawshad Farruque; François Bolduc; Osmar Zaïane (ICTAI, 2021)

Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. - Chenyang Huang 001; Amine Trabelsi; Xuebin Qin; Nawshad Farruque; Lili Mou; Osmar R. Zaïane (NAACL-HLT, 2021)

Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments. - Nawshad Farruque; Chenyang Huang 001; Osmar R. Zaïane; Randy Goebel (CoRR, 2021)

STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text. - Nawshad Farruque; Randy Goebel; Osmar Zaïane; Sudhakar Sivapalan (CoRR, 2021)

A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language. - Nawshad Farruque; Randy Goebel; Osmar Zaïane (CoRR, 2021)

A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence. - Mi-Young Kim; Shahin Atakishiyev; Housam Khalifa Bashier Babiker; Nawshad Farruque; Randy Goebel; Osmar R. Zaïane; Mohammad H. Motallebi; Juliano Rabelo 001; Talat Iqba Syed; Hengshuai Yao; Peter Chun (Mach. Learn. Knowl. Extr., 2021)

DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers. - Nawshad Farruque; Osmar Zaïane; Randy Goebel; Sudhakar Sivapalan (LT-EDI, 2022)

Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach. - Nawshad Farruque; Randy Goebel; Sudhakar Sivapalan; Osmar Zaïane (CoRR, 2022)

StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs. - Hailin Chen; Fangkai Jiao; Mathieu Ravaut; Nawshad Farruque; Xuan-Phi Nguyen; Chengwei Qin; Manan Dey; Bosheng Ding; Caiming Xiong; Shafiq Joty; Yingbo Zhou (CoRR, 2024)

Deep temporal modelling of clinical depression through social media text. - Nawshad Farruque; Randy Goebel; Sudhakar Sivapalan; Osmar Zaïane (Nat. Lang. Process. J., 2024)

Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach. - Nawshad Farruque; Randy Goebel; Sudhakar Sivapalan; Osmar R. Zaïane (Lang. Resour. Evaluation, 2024)